首页|Recent Research from Lanzhou University Highlight Findings in Robotics (A Kalman -koopman Lqr Control Approach To Robotic Systems)
Recent Research from Lanzhou University Highlight Findings in Robotics (A Kalman -koopman Lqr Control Approach To Robotic Systems)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Robotics. According to news reporting out of Lanzhou, People’s Republic of China, by NewsRx editors, research stated, “This article presents a Kalman-Koopman linear quadratic regulator (KKLQR) control approach to robotic systems. In the proposed approach, an optimal Koopman modeling method based on neural networks, in which continuous Koopman eigenfunctions are constructed without requiring any predefined dictionary, is proposed to obtain approximated linear models with high precision for robotic systems.”
LanzhouPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRoboticsRobotsLanzhou University